🔍 Tool Execution Analysis Report

Comprehensive analysis of tool performance and execution patterns
Generated on September 29, 2025 at 02:49 AM
Source: airline_gemini2_5_flash_10tasks_2t_retry_agent_enhanced_logs.json

📊 Executive Summary

20
Total Simulations
230
Total Tool Calls
0.33ms
Avg Execution Time
10
Unique Tools

💡 Key Insights

🎯 Performance Insights

  • 3 out of 10 tools have excellent performance (≥95% success rate)
  • get_reservation_details is the most frequently used tool with 116 calls
  • Overall system reliability: 68.5%

🔄 State Management Insights

  • 4 tools perform state changes, 7 are read-only
  • State-changing operations: 24 calls
  • Read-only operations: 206 calls

⚠️ Error Analysis

  • 17 total errors across 1 error types
  • Most problematic tool: get_reservation_details (5 errors)
  • Primary error type: ActionCheckFailure

🛠️ Tool Performance Analysis

Tool Name Total Calls Success Rate Avg Time (ms) Performance State Changes
get_reservation_details 116 18.1% 0.04ms Poor 0/116
get_user_details 36 25.0% 0.04ms Poor 0/36
transfer_to_human_agents 24 100.0% 0.03ms Excellent 0/24
cancel_reservation 14 28.6% 0.10ms Poor 14/14
get_flight_status 12 100.0% 0.04ms Excellent 0/12
book_reservation 10 0.0% 6.62ms Poor 4/10
search_direct_flight 10 20.0% 0.18ms Poor 0/10
send_certificate 4 25.0% 0.05ms Poor 4/4
search_onestop_flight 2 100.0% 0.17ms Excellent 0/2
update_reservation_flights 2 0.0% 0.12ms Poor 2/2

🔄 State Change Analysis

Tool Name Category Calls Success Rate Avg Time (ms) Performance Rating
cancel_reservation State-Changing 14 100.0% 0.10ms Excellent
book_reservation State-Changing 4 100.0% 16.43ms Excellent
send_certificate State-Changing 4 100.0% 0.05ms Excellent
update_reservation_flights State-Changing 2 100.0% 0.12ms Excellent
get_reservation_details Read-Only 116 96.6% 0.04ms Excellent
get_user_details Read-Only 36 100.0% 0.04ms Excellent
transfer_to_human_agents Read-Only 24 100.0% 0.03ms Excellent
get_flight_status Read-Only 12 100.0% 0.04ms Excellent
search_direct_flight Read-Only 10 100.0% 0.18ms Excellent
book_reservation Read-Only 6 0.0% 0.08ms Poor
search_onestop_flight Read-Only 2 100.0% 0.17ms Excellent

🔥 Failure Analysis

🎯 Root Cause Analysis

Total Failures

17

Error Rate

7.4%

Affected Tools

7

Error Categories

1

🚨 Primary Failure Modes

Action Check Failures

7 tools failed action validation checks:

  • get_reservation_details: 5 failures (19.2% rate)
    → Affected 4 simulation(s)
    → Example args: {'reservation_id': '4OG6T3'}
  • get_user_details: 3 failures (25.0% rate)
    → Affected 3 simulation(s)
    → Example args: {'user_id': 'anya_garcia_5901'}
  • book_reservation: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'sophia_silva_7557', 'origin': 'ORD', 'destination': 'PHL', 'flight_type': 'one_way', 'c...
  • cancel_reservation: 2 failures (33.3% rate)
    → Affected 2 simulation(s)
    → Example args: {'reservation_id': 'NQNU5R'}
  • search_direct_flight: 2 failures (50.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'origin': 'JFK', 'destination': 'MCO', 'date': '2024-05-22'}
  • update_reservation_flights: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'reservation_id': 'XEHM4B', 'cabin': 'economy', 'flights': [{'flight_number': 'HAT005', 'date': '20...
  • send_certificate: 1 failures (50.0% rate)
    → Affected 1 simulation(s)
    → Example args: {'user_id': 'noah_muller_9847', 'amount': 50}

⚡ Performance Impact Analysis

High-Usage Tools with Poor Performance
Tool Name Total Calls Success Rate Avg Time (ms)
get_reservation_details 116 18.1% 0.04ms
get_user_details 36 25.0% 0.04ms
cancel_reservation 14 28.6% 0.10ms
book_reservation 10 0.0% 6.62ms
search_direct_flight 10 20.0% 0.18ms
Slowest Tools by Execution Time
Tool Name Avg Time (ms) Total Calls Success Rate
book_reservation 6.62ms 10 0.0%
search_direct_flight 0.18ms 10 20.0%
search_onestop_flight 0.17ms 2 100.0%
update_reservation_flights 0.12ms 2 0.0%
cancel_reservation 0.10ms 14 28.6%

💡 Key Insights

  • Most problematic tool: get_reservation_details (5 failures)
  • Primary failure mode: Action validation failures suggest issues with tool argument validation or execution logic
  • Average tool success rate: 41.7%
  • ⚠️ Low overall success rate suggests systemic issues requiring investigation

🔧 Critical Recommendations

  1. Action Validation: Review and strengthen argument validation logic for failing tools
  2. Error Handling: Implement more robust error recovery mechanisms
  3. Performance Optimization: Focus on improving poor-performing tools with high usage
  4. Monitoring: Implement enhanced monitoring and alerting for tools with high failure rates
  5. Testing: Increase test coverage for identified problematic tool patterns

🔗 Tool Flow Analysis

Tool Sequence Patterns

Most common tool transitions:

  • get_reservation_detailsget_reservation_details (69 times)
  • get_user_detailsget_reservation_details (32 times)
  • get_reservation_detailstransfer_to_human_agents (16 times)
  • transfer_to_human_agentsget_user_details (12 times)
  • get_reservation_detailsget_user_details (10 times)

Recursive patterns: 6 tools frequently call themselves, indicating iterative processing patterns.

📋 Recommendations

🚨 High Priority Actions

  • Critical: System success rate is only 68.5%. Immediate investigation required.

⚡ Performance Optimizations

  • Fix failing tools: 7 tools need attention: get_reservation_details (4.3% failure), get_user_details (8.3% failure), cancel_reservation (14.3% failure)
  • Consider caching: High-usage tools could benefit from result caching: get_reservation_details, get_user_details

📈 Enhancement Opportunities

  • Monitoring setup: With 230 tool calls analyzed, implement automated monitoring dashboards.
  • Performance baselines: Establish SLA targets for your 10 tools based on current performance data.
  • Load distribution: get_reservation_details accounts for 50.4% of calls. Consider load balancing or scaling strategies.